METHODS AND SYSTEMS OF COLLISION AVOIDANCE AND/OR ALERTING FOR USERS OF MOBILE COMMUNICATION DEVICES

• US 20120299713A1
• Filed: 02/03/2011
• Published: 11/29/2012
• Est. Priority Date: 02/03/2010
• Status: Abandoned Application

• Current Assignee: Guy Rodoy, Liron Elia, Yossi Ilia
• Original Assignee: Guy Rodoy, Liron Elia, Yossi Ilia
• Inventors: Elia, Liron, Ilia, Yossi, Rodoy, Guy
• Application Number:
  US13/576,679
• Publication Number:
  US 20120299713A1
• Time in Patent Office: Days
• US Class Current: 340/435
• CPC Class Codes: B60W 2540/24 Drug level, e.g. alcohol
• CPC Class Codes: B60W 2540/30 Driving style
• CPC Class Codes: B60W 2554/00 Input parameters relating to objects
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 2556/65 Data transmitted between vehicles
• CPC Class Codes: B60W 30/0956 the prediction being responsive to traffic or environmental parameters
• CPC Class Codes: B60W 40/04 Traffic conditions
• CPC Class Codes: B60W 50/14 Means for informing the driver, warning the driver or prompting a driver intervention
• CPC Class Codes: G01S 19/17 Emergency applications
• CPC Class Codes: G01S 19/51 Relative positioning
• CPC Class Codes: G01S 2013/9316 combined with communication equipment with other vehicles or with base stations
• CPC Class Codes: G08G 1/161 Decentralised systems, e.g. inter-vehicle communication

Abstract

A method of alerting a user of a mobile communication device having a processor about a risk arising from proximate drivers or pedestrians. The method comprises receiving a list of a plurality of proximate mobile communication devices from a central unit via a network, establishing a peer to peer (P2P) connection with each the proximate mobile communication device, acquiring positioning data from each the proximate mobile communication device via a respective the P2P connection, locally using the processor for calculating at least one potential collision course with at least one of the plurality of proximate mobile communication devices according to the positioning data, and locally presenting an alert indicative of a risk to the user according to the at least one potential collision course.

Claims

1. A method of alerting a user of a mobile communication device having a processor about a risk arising from proximate drivers or pedestrians, comprising:

receiving a list of a plurality of proximate mobile communication devices from a central unit via a network;

establishing a peer to peer (P2P) connection with each said proximate mobile communication device;

acquiring positioning data from each said proximate mobile communication device via a respective said P2P connection;

calculating, using the processor, at least one potential collision course with at least one of said plurality of proximate mobile communication devices according to said positioning data; and

locally presenting an alert to the user according to said calculation.

2. The method of claim 1, wherein said positioning data comprises at least one of pseudorange and navigation message indicative of a location of at least one satellite.

3. The method of claim 1, wherein said positioning data comprises positioning coordinates corrected according to at least one of pseudorange and navigation message indicative of a location of at least one satellite.

4. The method of claim 1, wherein said calculating comprises calculating double difference pseudorange measurements according to said positioning data and using said double difference pseudorange measurements for determining said at least one potential collision course.

5. The method of claim 1, wherein said calculating comprises:

calculating a plurality of risk levels each according to another said potential collision course,

prioritizing said plurality of risk levels, and

generating said alert according to said prioritization.

6. The method of claim 5, further comprising repeating said calculating to update said prioritization.

7. The method of claim 5, wherein said prioritizing is performed to a sub group of said plurality of proximate mobile communication devices, said sub group is selected according to an analysis of said at least one potential collision.

8. The method of claim 1, wherein said calculating further comprises calculating at least one risk level according to said at least one potential collision course and at least one location based event of a respective said proximate mobile communication device.

9. The method of claim 8, wherein said at least one location based event is selected from a group consisting of a presence in an alcohol serving location, a presence in an unfamiliar region, a presence in vehicle moving longer than a certain period.

10. The method of claim 1, wherein said calculating further comprises at least one of calculating at least one risk level according to said at least one potential collision course and an analysis of driving history of a proximate user of a respective said proximate mobile communication device, detecting at least one accident bias driving habit of said proximate user according to said driving history, and calculating at least one risk level according to said at least one potential collision course and personal information of a user of a respective said proximate mobile communication device.

13. The method of claim 10, wherein said personal information is extracted from at least one of a social network page, a social network feed, and a social network activity of said user.

14. The method of claim 10, wherein said personal information comprises demographic data.

15. The method of claim 1, wherein said calculating further comprises calculating at least one risk level according to at least one of said at least one potential collision course and technical data of a vehicle driven by a user of a respective said proximate mobile communication device and said at least one potential collision course and a detection of human communication established via a respective said proximate mobile communication device.

17. The method of claim 1, further comprising performing a check to determine if respective said proximate mobile communication device is used for human communication;

wherein said calculating further comprises calculating at least one risk level according to said at least one potential collision course and said check.

18. The method of claim 1, further comprising detecting an accident according to an analysis of said at least one potential collision course and forwarding a notification indicative of said accident to a remote control unit.

21. The method of claim 1, wherein said acquiring comprises sending a request for said positioning data to each said proximate mobile communication device via a respective said P2P connection and intercepting a response to said request.

11. (canceled)

12. (canceled)

16. (canceled)

19-20. -20. (canceled)

22. (canceled)

23. A system of alerting a plurality of users of a plurality of mobile communication devices about risks arising from proximate drivers or pedestrians, comprising:

a central unit which monitors the location of a plurality of mobile communication devices in a plurality of groups each indicative of another of a plurality of traffic areas in a region; and

a plurality of client modules configured for being installed in said plurality of mobile communication devices so as to establish a plurality of peer to peer (P2P) connections among members of each said group;

wherein each client module receives a list defining a respective said group according to its respective said traffic area from said central unit, acquires positioning data from each member of said respective group via said respective P2P connections, calculates at least one potential collision course according to said positioning data, and locally presents an alert indicative of at least one risk to the respective user according to said at least one potential collision course.

25. The system of claim 23, wherein positioning data comprises location coordinates, movement direction, and velocity.

26. The system of claim 23, wherein said central unit computes and updates said plurality of groups according to positioning data received from said plurality of mobile communication devices via a wireless communication network in real time.

27. The system of claim 23, wherein said central unit computes said plurality of groups according to a member of a group consisting of:

a traffic load, an estimated velocity of a vehicle, an estimated range of velocities of vehicles, an average period which driver spend in a traffic area, a mean of periods which drivers spend in a traffic area, a risk having an accidence in a traffic area, and statistical analysis of traffic patterns in a traffic area.

24. (canceled)

28. (canceled)

29. A method of alerting at least one of drivers and pedestrians about risks, comprising:

monitoring positioning data of each of a plurality of mobile communication devices in real time, each said mobile communication device being associated with at least one of a driver and a pedestrian;

logging at least one of a location based event and a driving habit for each said mobile communication device according to said positioning data;

detecting an accident prone proximity between first and second of said plurality of mobile communication devices according to respective said positioning data, in real time;

evaluating a risk for a first user of said first mobile communication device from a second user of said second mobile communication device as a function of respective said accident prone proximity and respective said at least one of said location based event and said driving habit; and

outputting an alert indicative of said risk to said first mobile communication device in real time.

30-31. -31. (canceled)